Displaying 5 of 15 results methodology clear search
My research focuses on applied marine ecology and environmental management, particularly with coastal fish assemblages. Research interests include fish ecology, environmental monitoring and assessment methodology and individual-based models.
I am an Associate Professor in the Department of Industrial Engineering at the University of Engineering and Technology Taxila, Pakistan. I hold a PhD in Industrial Engineering and have more than 20 years of academic experience in teaching, research, and student supervision.
My research focuses on industrial and systems engineering and data-driven decision analytics. It combines multi-criteria decision-making, agent-based modeling, simulation, optimization, and machine learning to examine complex decisions involving uncertainty, competing objectives, and multiple stakeholders. Applications include manufacturing, energy systems, sustainability, and organizational decision-making.
My published research includes assessments of hybrid energy policies, Industry 4.0 readiness, and sustainable cement production. I am also a coauthor of the peer-reviewed CoMSES computational model “Integrating Reinforcement Learning in Agent-Based Modeling for Dynamic Investment Decisions.” The associated 2026 journal article combines reinforcement learning, response surface methodology, and neural networks within an agent-based modeling framework. This work uses NetLogo simulations to investigate adaptive investment decisions under uncertainty.
My ongoing research and student supervision explore multi-agent reinforcement learning, large language models, and agent-based modeling for supply-chain decision support under disruptions. These activities extend my interests in adaptive decision-making and the analysis of complex industrial systems.
Alongside research, I teach undergraduate and graduate courses, supervise postgraduate research and undergraduate projects, and review manuscripts for scholarly journals. I welcome academic and industry research collaborations involving computational modeling, simulation experiments, decision-support systems, and sustainable industrial operations.
Agent-Based Modeling
Decision Analytics
Multi-Criteria Decision Making
Operations Research
Reinforcement Learning
Simulation and Optimization
Sustainable Manufacturing
Energy Systems
Dr. Aaron Bramson is principal investigator of the AI Strategy Center of GA technologies in Tokyo, Japan, as well as an Affiliate Researcher in the Department of General Economics of Ghent University in Belgium. His research specialty is complexity science, especially methodologies for modeling complex systems. Research topics span across disciplines: measures of polarization and diversity, belief measure interoperability, integrating geospatial and network analyses for measuring walkability and neighborhood identification, and myriad applications in artificial intelligence and data visualization. He received his Ph.D. from the University of Michigan in a joint program with the departments of Political Science and Philosophy as well as an M.S. in Mathematics from Northeastern University.
Complex systems, agent-based modeling, social simulation, computational models, network models, network theory, methodology, philosophy of science, ontology, epistemology, ethics, artificial intelligence, big data analysis, geospatial data analysis,
I have been researching in synchronization between agent-based-models (ABM) and multi robot systems used in logistic and manufacturing. I use Netlogo as ABM.
I develop and agile methodology to use the same ABM as supervisory control and data aquisition (SCADA). The framework works fine and I test it in two SCADAs, which you can see in my youtube channel (http://www.youtube.com/channel/UCJIb_UL-ak98F5OZxOHL0FQ).
I am an Associate Professor of Data Analytics at Trinity Business School, Trinity College Dublin, The University of Dublin and a Senior Fellow of the Higher Education Academy. I was the Director of Postgraduate Teaching at the Department of Management Science, Lancaster University Management School overseeing MSc programmes in Business Analytics, Management Science and Marketing Analytics, Logistics and Supply Chain Management, e-Business and Innovation, and Project Management.
My research interests lie in the areas of predictive analytics using simulation. I am particularly interested in simulation modelling methodology (symbiotic simulation, hybrid modelling, agent-based simulation, discrete-event simulation) with applications in operations and supply chain management (e.g. hospital, manufacturing, transportation, warehouse) and social dynamics (e.g. diffusion of perception). Currently, I am the associate editor of the Journal of Simulation and the secretary of The OR Society‘s Special Interest Group in Simulation. I am the track coordinator of Agent-Based Simulation for the Winter Simulation Conference 2018.
Displaying 5 of 15 results methodology clear search